The Staff Data Scientist role at Google focuses on enhancing the Discover Personalization and Quality team. This position involves partnering cross-functionally to improve how users access relevant information based on their interests. The role requires a deep understanding of retrieval and ranking systems, leveraging analytics and machine learning techniques. The goal is to create a data-informed strategy that accelerates execution and improves user experience.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Familiarity with modern Machine Learning and Large Language Model (LLM) techniques.
• Excellent collaboration skills, with the ability to collaborate cross-functionally.

• Lead core understanding of retrieval and ranking ML systems and collaborate with engineers to deliver significant improvements.
• Analyze systems to identify opportunities while maintaining end-to-end ownership of research agenda, execution, and insight delivery to leadership.
• Build expertise in retrieval and ranking systems, advocating for changes and driving cross-functional alignment.
• Manage ambiguous data science problems and leverage new technology to produce significant advancements in understanding.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.